Modeling Relationships between Land Surface Temperature and Selected Vegetation Indices using Geo-Spatial Techniques: A Case Study of Oluwa Forest Reserve, Ondo State
| Main Authors: | Aigbokhan O. J, Ekundayo A. A, Essien N. E., Ukoha A. P. |
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| Format: | Article Journal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1420389 |
Daftar Isi:
- This paper tends to explain the application of Remote Sensing (RS) and Geographic Information Systems (GIS) for analysis and monitoring the relationships of land surface temperature (LST) with selected vegetation indices in the area. For mapping purposes, satellite images of Landsat-8 OLI / TIRS images, acquired on the 1stof April 2018 were used. The study was conducted in Oluwa fragmented Forest Reserve, situated in Ondo State of Nigeria. The study was based on Landsat 8 (OLI/TIR) only because the emphasis was not on time series. The temperature values were extracted using Remote Sensing algorithms from thermal infrared (TIR) data (band 10). The calculations of five vegetation indices were also done with their result regressed with the land surface temperature. Therefore, the main objective is to examine the degree of relationship between LST and some selected vegetation indices. The processing and analysis of data was done using ArcGIS and IDRISI software systems. The results revealed that the LST ranged from 24°C to 36°C with a mean of 30°C). From the correlation analysis, RVI has the strongest relationship (-0.6) with the prevailing LST than other vegetation indices. This implies that remote sensing and GIS techniques are reliable and therefore could be employed for large scale temperature mapping and the modeling of vegetation indices.